Most enterprise data lives outside databases. Here's why that's holding AI back — and how connecting context can change it.

Modern vision-language models allow documents to be transformed into structured, computable representations rather than lossy text blobs.

Enterprises face key challenges in harnessing unstructured data so they can make the most of their investments in AI, but several vendors are addressing these challenges.

Inconsistent wording, inaccessible files and outdated references don’t just annoy regulators — they confuse customers and train LLMs on the wrong story. The strict regulatory landscape and rise of ...

Google’s Lang Extract uses prompts with Gemini or GPT, works locally or in the cloud, and helps you ship reliable, traceable data faster.

Clinical-grade, expert-supported natural language processing (NLP) is valuable to payers and providers when exchanging patient information through continuity-of-care documents. One of the most ...

5 Questions is a periodic feature produced by Cornerstone Research, which asks our professionals, senior advisors, or affiliated experts to answer five questions. We interview Mike DeCesaris, vice ...

CHICAGO--(BUSINESS WIRE)-- Tempus AI, Inc. (TEM), a technology company leading the adoption of AI to advance precision medicine and patient care, today introduced a suite of new, transformative ...